Cadastra
eCommerce • Marketing • SaaS
Cadastra is a leading digital performance and marketing solutions company in Latin America. They specialize in integrated strategies that combine marketing, technology, and data to help businesses grow exponentially. With over 25 years of experience, Cadastra empowers brands through services such as conversion optimization, media services, CRM and customer experience solutions, data analytics, and cloud services, catering to both B2C and B2B sectors.
501 - 1000 employees
Founded 2000
🛍️ eCommerce
☁️ SaaS
Data Engineering Analyst
Job not on LinkedIn
November 12
🗣️🇧🇷🇵🇹 Portuguese Required
Cadastra
eCommerce • Marketing • SaaS
Cadastra is a leading digital performance and marketing solutions company in Latin America. They specialize in integrated strategies that combine marketing, technology, and data to help businesses grow exponentially. With over 25 years of experience, Cadastra empowers brands through services such as conversion optimization, media services, CRM and customer experience solutions, data analytics, and cloud services, catering to both B2C and B2B sectors.
501 - 1000 employees
Founded 2000
🛍️ eCommerce
☁️ SaaS
📋 Description
• Develop and orchestrate data pipelines in Python and SQL within AWS and Databricks environments • Build and maintain data ingestion and transformation frameworks (batch and streaming) • Model data to support analytical and marketing use cases, ensuring data quality, performance, and governance • Automate integrations between Martech platforms (Google, Meta, CRM, Ads, CDPs, etc.) • Clearly and consistently document all processes, models, and data flows • Collaborate with cross-functional squads (Digital Analytics, BI, and Engineering) to ensure end-to-end delivery • Contribute to architectural decisions, best practices, and the evolution of the team’s technical standards • Support the dissemination of technical knowledge and best practices across teams
🎯 Requirements
• Strong experience with AWS (Glue, Lambda, S3, Redshift, EMR, Step Functions) and Databricks • Proficient in Python (pandas, pyspark, requests, etc.) and advanced SQL • Experience building and orchestrating data pipelines (ETL/ELT) • Familiarity with code versioning (Git) and structured technical documentation • Experience with relational and analytical data modeling • Strong analytical skills and attention to detail to ensure data consistency and quality • Experience with Martech projects (Google Ads, Meta, Salesforce, GA4, CDPs, etc.) is desirable • Knowledge of DataOps, CI/CD, and automation practices is desirable • Experience with Infrastructure as Code (Terraform, CloudFormation) is desirable • AWS, Databricks, or equivalent certifications are desirable • Familiarity with BigQuery, Snowflake, or similar tools is desirable
🏖️ Benefits
• Meal and grocery allowance on the FLASH card 🥗 • Home office allowance on the FLASH card 💳 • Health plan according to your location 🩺 • Dental plan according to your location 🦷 • Birthday day off + amount deposited on the FLASH card 🎉 • Extended maternity and paternity leave 🍼 • Profit sharing (PLR) 💰 • Life insurance 🧡 • Childcare assistance 👶 • Referral bonus 💰 • Transportation voucher 🚍 • Clude | Health platform 🩺 • TotalPass 🏋🏽♀️ • Partnership with FECAP - discounts of 10% to 20% on undergraduate, postgraduate, MBA, and master's courses 🎓
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